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ORCIDCarsten Rother
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2020 – today
- 2024
[c157]Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy:
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. AAAI 2024: 5252-5260- [c156]Tomas Hodan, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Jiri Matas:
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. CVPR Workshops 2024: 5610-5619 - [c155]Denis Zavadski, Johann-Friedrich Feiden, Carsten Rother:
ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems. ECCV (88) 2024: 343-362 - [e5]Ullrich Köthe
, Carsten Rother:
Pattern Recognition - 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19-22, 2023, Proceedings. Lecture Notes in Computer Science 14264, Springer 2024, ISBN 978-3-031-54604-4 [contents] - [i73]Tomas Hodan, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Jiri Matas:
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. CoRR abs/2403.09799 (2024) - [i72]Denis Zavadski, Damjan Kalsan, Carsten Rother:
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage. CoRR abs/2409.09144 (2024) - 2023
- [j31]Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks. Int. J. Comput. Vis. 131(4): 1060-1072 (2023) - [j30]Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother:
Correction: Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks. Int. J. Comput. Vis. 131(5): 1302-1306 (2023) - [j29]Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe:
Finding Competence Regions in Domain Generalization. Trans. Mach. Learn. Res. 2023 (2023) - [c154]Martin Sundermeyer, Tomás Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jirí Matas:
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CVPR Workshops 2023: 2785-2794 - [i71]Martin Sundermeyer, Tomas Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jiri Matas:
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CoRR abs/2302.13075 (2023) - [i70]Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe:
Finding Competence Regions in Domain Generalization. CoRR abs/2303.09989 (2023) - [i69]Siddharth Tourani, Carsten Rother, Muhammad Haris Khan, Bogdan Savchynskyy:
Unsupervised Deep Graph Matching Based on Cycle Consistency. CoRR abs/2307.08930 (2023) - [i68]Denis Zavadski, Johann-Friedrich Feiden, Carsten Rother:
ControlNet-XS: Designing an Efficient and Effective Architecture for Controlling Text-to-Image Diffusion Models. CoRR abs/2312.06573 (2023) - 2022
- [j28]Eric Brachmann, Carsten Rother:
Visual Camera Re-Localization From RGB and RGB-D Images Using DSAC. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5847-5865 (2022) - [c153]Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Towards Multimodal Depth Estimation from Light Fields. CVPR 2022: 12943-12951 - [c152]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CVPR 2022: 18632-18643 - [c151]Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. ECCV (23) 2022: 636-653 - [i67]Jonas Haldemann, Victor Ksoll, Daniel Walter, Yann Alibert, Ralf S. Klessen, Willy Benz, Ullrich Köthe, Lynton Ardizzone, Carsten Rother:
Exoplanet Characterization using Conditional Invertible Neural Networks. CoRR abs/2202.00027 (2022) - [i66]Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks. CoRR abs/2202.09206 (2022) - [i65]Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Towards Multimodal Depth Estimation from Light Fields. CoRR abs/2203.16542 (2022) - [i64]Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. CoRR abs/2207.00291 (2022) - 2021
- [j27]Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions. Int. J. Comput. Vis. 129(2): 462-483 (2021) - [c150]Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. Bildverarbeitung für die Medizin 2021: 330-335 - [c149]Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Generative Classifiers as a Basis for Trustworthy Image Classification. CVPR 2021: 2971-2981 - [c148]Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Learning Robust Models Using the Principle of Independent Causal Mechanisms. GCPR 2021: 79-110 - [c147]Haebom Lee, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatiotemporal Outdoor Lighting Aggregation on Image Sequences. GCPR 2021: 343-357 - [c146]Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler:
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. ICCV 2021: 6198-6208 - [c145]Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. ICCV 2021: 6250-6259 - [c144]Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz:
Self-Supervised Object Detection via Generative Image Synthesis. ICCV 2021: 8589-8598 - [i63]Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Benchmarking Invertible Architectures on Inverse Problems. CoRR abs/2101.10763 (2021) - [i62]Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. CoRR abs/2101.12085 (2021) - [i61]Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. CoRR abs/2105.02104 (2021) - [i60]Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler:
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. CoRR abs/2109.00524 (2021) - [i59]Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz:
Self-Supervised Object Detection via Generative Image Synthesis. CoRR abs/2110.09848 (2021) - [i58]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CoRR abs/2112.01554 (2021) - 2020
- [c143]Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother:
Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. 3DV 2020: 1176-1185 - [c142]Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy:
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS 2020: 2539-2549 - [c141]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS 2020: 2775-2785 - [c140]Hendrik Schilling, Marcel Gutsche, Alexander Brock, Dane Späth, Carsten Rother, Karsten Krispin:
Mind the Gap - A Benchmark for Dense Depth Prediction Beyond Lidar. CVPR Workshops 2020: 1379-1388 - [c139]Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz:
Self-Supervised Viewpoint Learning From Image Collections. CVPR 2020: 3970-3980 - [c138]Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CVPR 2020: 4633-4642 - [c137]Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann:
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. CVPR 2020: 4947-4956 - [c136]Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models. CVPR 2020: 8825-8835 - [c135]Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. GCPR 2020: 373-387 - [c134]Christoph Kamann, Carsten Rother:
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. ECCV (10) 2020: 369-387 - [c133]Tomás Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas:
BOP Challenge 2020 on 6D Object Localization. ECCV Workshops (2) 2020: 577-594 - [c132]Peter Sorrenson, Carsten Rother, Ullrich Köthe:
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). ICLR 2020 - [c131]Lynton Ardizzone, Radek Mackowiak, Carsten Rother, Ullrich Köthe:
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification. NeurIPS 2020 - [i57]Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CoRR abs/2001.02643 (2020) - [i56]Peter Sorrenson, Carsten Rother, Ullrich Köthe:
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). CoRR abs/2001.04872 (2020) - [i55]Lynton Ardizzone, Radek Mackowiak, Ullrich Köthe, Carsten Rother:
Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. CoRR abs/2001.06448 (2020) - [i54]Eric Brachmann, Carsten Rother:
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC. CoRR abs/2002.12324 (2020) - [i53]Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz:
Self-Supervised Viewpoint Learning From Image Collections. CoRR abs/2004.01793 (2020) - [i52]Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy:
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. CoRR abs/2004.06375 (2020) - [i51]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. CoRR abs/2004.07715 (2020) - [i50]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. CoRR abs/2004.08227 (2020) - [i49]Omid Hosseini Jafari, Carsten Rother:
Split-Merge Pooling. CoRR abs/2006.07742 (2020) - [i48]Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Matthias Nießner, Andreas Geiger, Carsten Rother:
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition. CoRR abs/2006.16011 (2020) - [i47]Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Generative Classifiers as a Basis for Trustworthy Computer Vision. CoRR abs/2007.15036 (2020) - [i46]Tomas Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas:
BOP Challenge 2020 on 6D Object Localization. CoRR abs/2009.07378 (2020) - [i45]Christoph Kamann, Burkhard Güssefeld, Robin Hutmacher, Jan Hendrik Metzen, Carsten Rother:
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. CoRR abs/2010.05495 (2020) - [i44]Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Learning Robust Models Using The Principle of Independent Causal Mechanisms. CoRR abs/2010.07167 (2020) - [i43]Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. CoRR abs/2011.05110 (2020) - [i42]Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein:
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. CoRR abs/2012.08195 (2020)
2010 – 2019
- 2019
- [j26]Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. Int. J. Comput. Assist. Radiol. Surg. 14(6): 997-1007 (2019) - [c130]Titus Leistner, Hendrik Schilling, Radek Mackowiak, Stefan Gumhold, Carsten Rother:
Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift. 3DV 2019: 249-257 - [c129]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Localizing Common Objects Using Common Component Activation Map. CVPR Workshops 2019: 28-31 - [c128]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CVPR 2019: 9404-9413 - [c127]Eric Brachmann, Carsten Rother:
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. ICCV 2019: 4321-4330 - [c126]Eric Brachmann, Carsten Rother:
Expert Sample Consensus Applied to Camera Re-Localization. ICCV 2019: 7524-7533 - [c125]Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe:
Analyzing Inverse Problems with Invertible Neural Networks. ICLR (Poster) 2019 - [c124]Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Out of Distribution Detection for Intra-operative Functional Imaging. UNSURE/CLIP@MICCAI 2019: 75-82 - [i41]Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. CoRR abs/1903.03441 (2019) - [i40]Eric Brachmann, Carsten Rother:
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. CoRR abs/1905.04132 (2019) - [i39]Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl:
HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. CoRR abs/1905.10687 (2019) - [i38]Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe:
Guided Image Generation with Conditional Invertible Neural Networks. CoRR abs/1907.02392 (2019) - [i37]Eric Brachmann, Carsten Rother:
Expert Sample Consensus Applied to Camera Re-Localization. CoRR abs/1908.02484 (2019) - [i36]Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models. CoRR abs/1908.05005 (2019) - [i35]Titus Leistner, Hendrik Schilling, Radek Mackowiak, Stefan Gumhold, Carsten Rother:
Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift. CoRR abs/1909.09059 (2019) - [i34]Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Out of distribution detection for intra-operative functional imaging. CoRR abs/1911.01877 (2019) - [i33]Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann:
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. CoRR abs/1912.00623 (2019) - 2018
- [j25]Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes. Int. J. Comput. Vis. 126(9): 961-972 (2018) - [j24]Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr:
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35(1): 37-52 (2018) - [c123]Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother:
Geometric Image Synthesis. ACCV (6) 2018: 85-100 - [c122]Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, Carsten Rother:
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects. ACCV (3) 2018: 477-492 - [c121]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Deep Object Co-segmentation. ACCV (3) 2018: 638-653 - [c120]Radek Mackowiak, Philip Lenz, Omair Ghori, Ferran Diego, Oliver Lange, Carsten Rother:
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation. BMVC 2018: 121 - [c119]Hendrik Schilling, Maximilian Diebold, Carsten Rother, Bernd Jähne:
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling. CVPR 2018: 4530-4538 - [c118]Eric Brachmann, Carsten Rother:
Learning Less Is More - 6D Camera Localization via 3D Surface Regression. CVPR 2018: 4654-4662 - [c117]Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. ECCV (10) 2018: 19-35 - [c116]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. ECCV (4) 2018: 264-281 - [c115]Tomás Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. ECCV Workshops (1) 2018: 589-600 - [i32]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CoRR abs/1801.00868 (2018) - [i31]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Deep Object Co-Segmentation. CoRR abs/1804.06423 (2018) - [i30]Lynton Ardizzone, Jakob Kruse, Sebastian J. Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe:
Analyzing Inverse Problems with Invertible Neural Networks. CoRR abs/1808.04730 (2018) - [i29]Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. CoRR abs/1808.08319 (2018) - [i28]Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother:
Geometric Image Synthesis. CoRR abs/1809.04696 (2018) - [i27]Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. CoRR abs/1810.03758 (2018) - [i26]Radek Mackowiak, Philip Lenz, Omair Ghori, Ferran Diego, Oliver Lange, Carsten Rother:
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation. CoRR abs/1810.09726 (2018) - 2017
- [c114]Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality meets Deep Learning. BMVC 2017 - [c113]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR 2017: 115-124 - [c112]Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres:
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. CVPR 2017: 1904-1912 - [c111]Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. CVPR 2017: 2492-2500 - [c110]Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CVPR 2017: 2566-2574 - [c109]Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CVPR 2017: 7062-7071 - [c108]Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother:
InstanceCut: From Edges to Instances with MultiCut. CVPR 2017: 7322-7331 - [c107]Aseem Behl, Omid Hosseini Jafari, Siva Karthik Mustikovela, Hassan Abu Alhaija, Carsten Rother, Andreas Geiger:
Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? ICCV 2017: 2593-2602 - [c106]Jakob Kruse, Carsten Rother, Uwe Schmidt:
Learning to Push the Limits of Efficient FFT-Based Image Deconvolution. ICCV 2017: 4596-4604 - [c105]Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother:
Analyzing modular CNN architectures for joint depth prediction and semantic segmentation. ICRA 2017: 4620-4627 - [c104]Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr:
Random forests versus Neural Networks - What's best for camera localization? ICRA 2017: 5118-5125 - [c103]Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller:
Crowd sourcing image segmentation with iaSTAPLE. ISBI 2017: 401-405 - [c102]